The potential of open-access data for flood estimations: uncovering inundation hotspots in Ho Chi Minh City, Vietnam, through a normalized flood severity index

Scheiber, Leon; Hoballah Jalloul, Mazen; Jordan, Christian; Visscher, Jan; Nguyen, Hong Quan; Schlurmann, Torsten

doi:https://doi.org/10.5194/nhess-23-2313-2023

Articles | Volume 23, issue 6

https://doi.org/10.5194/nhess-23-2313-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Future risk and adaptation in coastal cities

https://doi.org/10.5194/nhess-23-2313-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 6

Research article

|

26 Jun 2023

Research article |

| 26 Jun 2023

The potential of open-access data for flood estimations: uncovering inundation hotspots in Ho Chi Minh City, Vietnam, through a normalized flood severity index

Leon Scheiber, Mazen Hoballah Jalloul, Christian Jordan, Jan Visscher, Hong Quan Nguyen, and Torsten Schlurmann

Supplement

https://doi.org/10.5194/nhess-23-2313-2023-supplement

Data sets

OpenTopography ALOS https://doi.org/10.5069/G94M92HB

PlanetDEM 30 Plus Planet Observer https://www.planetobserver.com/global-elevation-data

ASTER Global Digital Elevation Model V003 ASTER https://doi.org/10.5067/ASTER/ASTGTM.003

Copernicus DEM -- Global and European Digital Elevation Model (COP-DEM) ESA https://doi.org/10.5270/ESA-c5d3d65

Shuttle Radar Topography Mission (SRTM NASA https://www.earthdata.nasa.gov/sensors/srtm

Sea level measured by tide gauges from global oceans -- the Joint Archive for Sea Level holdings (NCEI Accession 0019568) P. Caldwell, M. Merrifield, and P. Thompson https://doi.org/10.7289/v5v40s7w

Short summary

Numerical models are increasingly important for assessing urban flooding, yet reliable input data are oftentimes hard to obtain. Taking Ho Chi Minh City as an example, this paper explores the usability and reliability of open-access data to produce preliminary risk maps that provide first insights into potential flooding hotspots. As a key novelty, a normalized flood severity index is presented which combines flood depth and duration to enhance the interpretation of hydro-numerical results.